Multimedia learning objects for learning Java Peter Chalk & Richard Haynes London Metropolitan University Learning Objects for Computing LTSN-ICS Workshop.

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Presentation transcript:

Multimedia learning objects for learning Java Peter Chalk & Richard Haynes London Metropolitan University Learning Objects for Computing LTSN-ICS Workshop Jan 26th 2004 London Metropolitan University learning.unl.ac.uk/java1/

Summary Motivation Concept development Learning Object design & implementation Reusability in context Research & evaluation Issues for the future

Motivation Programming module failure rate Students not engaging or enjoying Evaluation report recommended redesign Include on-line support: VLE & LOs Team-based approach: academics, researchers & developer Prototyping methodology: evaluation & feedback

Concept development Support needs identified for: –Introductory Java concepts (scaffolding) –IDE & getting started (JCreator) –Object World (now AWT) graphics library Requirements discussion team-based –developing text, visualisation, animation, code and self-assessment quiz etc

Learning Object (LO) design & implementation Text as introduction and container Visualisation, animation & multimedia Control & GUI/ HCI –show animation –next frame Code animator Self-assessment & feedback

Text LO (also acts as container for animation)

Concept LO (while loop) plus code animation

Feedback LOs for self assessment – fill-in & drag/drop

Reusability in context Repository and archive –multiple module –multiple approaches/ texts –multiple topics/ weeks Use in context - WebCT module instance LO access list in WebCT for tracking page hits

Repository and archive

Use in context - WebCT module instance

List of Los in WebCT content module (for tracking page hits)

Research & evaluation Following slides show research data –LO page hits, comparative – usefulness –time per page hit – quality –student history of page hits shows learning paths or patterns (optimal/ failing) –student evaluation – perceived usefulness

Issues for the future Repository: –Sharing & blending –meta data - IMS? –who? LTSN? Ease of use: index, keywords, browse Context (code) LOs – link to concept LOs Intelligent agent research

Links LTRI: LO list: WebCT module: JICC: